Literature DB >> 18343782

PAX-5 expression in pulmonary neuroendocrine neoplasms: its usefulness in surgical and fine-needle aspiration biopsy specimens.

Gabriel Sica1, Madeline F Vazquez, Nassar Altorki, Jeffrey Port, Paul C Lee, Yifang Liu, Elizabeth Hyjek, Anjali Saqi.   

Abstract

The World Health Organization classification of lung tumors recognizes 4 histologic subtypes of pulmonary neuroendocrine carcinomas (NECs), which include typical carcinoids (TCs), atypical carcinoids (ACs), small cell carcinomas (SCCs), and large cell NECs (LCNECs). These tumors can be misclassified owing to morphologic parallels, indicating the necessity for adjunctive tests for correct classification. We evaluated immunohistochemical expression of PAX-5 in histologic and fine-needle aspiration (FNA) specimens of pulmonary NECs. Staining was stratified by intensity (0 to 3+) and percentage of cells stained as focal (<10%) or diffuse (=10%). PAX-5 expression was present in 29/37 (78%) of high-grade NECs (22/26 SCCs, 1/2 LCNECs, and 6/9 combined tumors) and none of 51 TCs and ACs; FNA specimens showed concordant staining. This study confirmed that PAX-5 is a useful marker in FNA and surgical specimens for the discrimination of low- to intermediate-grade NECs from high-grade NECs with 100% specificity and 79% sensitivity in surgical specimens.

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Year:  2008        PMID: 18343782     DOI: 10.1309/8J2PQHF603WHVL8K

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  4 in total

Review 1.  [Neuroendocrine tumors of the lungs. From small cell lung carcinoma to diffuse idiopathic pulmonary neuroendocrine cell hyperplasia].

Authors:  P A Schnabel; K Junker
Journal:  Pathologe       Date:  2014-11       Impact factor: 1.011

Review 2.  [Pulmonary neuroendocrine tumors in the new WHO 2015 classification: Start of breaking new grounds?].

Authors:  P A Schnabel; K Junker
Journal:  Pathologe       Date:  2015-05       Impact factor: 1.011

3.  PAX5 is expressed in small-cell lung cancer and positively regulates c-Met transcription.

Authors:  Rajani Kanteti; Vidya Nallasura; Sivakumar Loganathan; Maria Tretiakova; Todd Kroll; Soundararajan Krishnaswamy; Leonardo Faoro; Philip Cagle; Aliya N Husain; Everett E Vokes; Deborah Lang; Ravi Salgia
Journal:  Lab Invest       Date:  2009-01-12       Impact factor: 5.662

4.  In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer.

Authors:  Mandeep Kaur; Cameron R MacPherson; Sebastian Schmeier; Kothandaraman Narasimhan; Mahesh Choolani; Vladimir B Bajic
Journal:  BMC Syst Biol       Date:  2011-09-19
  4 in total

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